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Call for papers/Topics

All Abstracts, Reviews, short articles, Full articles, Posters are welcomed related with any of the following research fields:

Electrical Engineering Core

Circuit Theory & Design: Direct current (DC) and alternating current (AC) circuit analysis, passive networks, network theorems, transient analysis, and frequency response.
Electronics & Semiconductor Devices: Analog electronics, operational amplifiers, diodes, transistors (BJTs, MOSFETs), power electronics, integrated circuit (IC) design, and semiconductor physics.
Electromagnetics & RF: Electromagnetic fields and waves, transmission lines, antennas, microwave engineering, electromagnetic compatibility (EMC), and RF communication circuits.
Power Systems & Renewable Energy: Power generation, transmission, and distribution, smart grids, high-voltage engineering, electric machinery, power electronics for renewable energy (solar, wind), and energy storage integration.
Signals & Systems: Continuous-time and discrete-time signals, Fourier and Laplace transforms, z-transforms, system stability, filter design, and spectral analysis.
Embedded Systems & Microelectronics: Microcontrollers, digital signal processors (DSPs), FPGA programming, real-time operating systems (RTOS), hardware description languages (VHDL/Verilog), and hardware-software co-design.

Control Engineering Core

Classical Control Theory: Feedback systems, transfer functions, block diagram reduction, root locus techniques, Bode plots, Nyquist criterion, and PID controller tuning.
Modern & Multivariable Control: State-space representation, controllability and observability, state feedback design, linear quadratic regulators (LQR), and observer design.
Nonlinear & Adaptive Control: Phase plane analysis, Lyapunov stability theory, sliding mode control, gain scheduling, and self-tuning controllers.
Digital & Discrete Control: Sampled-data systems, discrete-time state equations, digital PID design, deadbeat control, and quantization effects.
Robotics & Mechatronics: Kinematics, dynamics, motion planning, actuator integration, sensor fusion, spatial awareness, and mobile robotics.
Advanced & Intelligent Control: Model predictive control (MPC), robust control ($H_\infty$), fuzzy logic systems, neural network control, and reinforcement learning for dynamic systems.

Biomedical Engineering Core

Bioinstrumentation & Sensors: Transducers, biopotential amplifiers, ECG/EEG/EMG system design, wearable health devices, microfluidics, and point-of-care diagnostic devices.
Biomedical Signal Processing: ECG/EEG artifact removal, wavelet transforms for biosignals, peak detection algorithms, dynamic heart rate variability assessment, and biological feature extraction.
Medical Imaging & Image Processing: Computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, positron emission tomography (PET), image reconstruction algorithms, and medical image segmentation.
Biomechanics & Biomaterials: Tissue mechanics, joint kinematics, fluid dynamics of blood flow (haemodynamics), biocompatible polymers, implants, prosthetics, and tissue engineering.
Computational Biology & Systems Physiology: Mathematical modeling of biological pathways, cardiac cell electrophysiology, metabolic network analysis, and neuromuscular modeling.
Rehabilitation Engineering & Neural Interfaces: Prosthetic control systems, brain-computer interfaces (BCIs), functional electrical stimulation (FES), exoskeletons, and neuroprosthetics.

Interrelated & Cross-Disciplinary Domains

Biomedical Control Systems & Physiological Regulation: Closed-loop drug delivery (e.g., artificial pancreas systems), automated anesthesia delivery, mechanical ventilator control loops, and pacemaker pacing algorithms.
Bio-Mechatronics & Bionic Systems: Integration of biological systems with electromechanical devices, myoelectric prosthetics, robotic-assisted surgery, and tactile sensing in artificial limbs.
Medical Power Systems & Safety: Isolated power systems in healthcare facilities, low-leakage patient circuits, defibrillator pulse shaping, wireless power transfer for implantable devices, and electrical safety standards (IEC 60601).
AI & Machine Learning in Healthcare Instrumentation: Real-time medical signal classification, automated arrhythmia detection, predictive ICU monitoring, Edge AI in point-of-care devices, and intelligent control of assistive devices.
Micro-Electro-Mechanical Systems (MEMS) & BioMEMS: Micro-actuators for micro-robots, lab-on-a-chip technologies, micro-scale flow control, and micro-fabricated sensors for physiological monitoring.
Cyber-Physical Systems & IoMT (Internet of Medical Things): Telemedicine hardware infrastructures, secure wireless telemetry for body sensor networks, deterministic control over network protocols, and real-time biometric data pipelines